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Soloha48 [4]
3 years ago
8

Need help ASAP plz and I've got more if anyone wants to help​

Mathematics
1 answer:
rodikova [14]3 years ago
6 0

Answer:

1/4+1/4+1/4+1/4+1/4+1/4= 1.5

3/10x2/3= 0.2

2/4x2/3= 0.33333333333  (just put 0.3 with a line on top of the 3)

6 divided by 1/2 = 12/1 or 12

9 divided by 1/3 = 27/1 or 27

2/5 divided by 3/4 = 8/15

1/2 divided by 2/3 = 3/4

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The vertex form of h(x) = x2 – 14x + 6 is h(x) = (x – )2 – .
EastWind [94]
The vertex form of h(x) = x2 – 14x + 6 is h(x) = (x –7 )2 – 43.
3 0
3 years ago
Read 2 more answers
How much water is in the cylinder ?
Mariulka [41]

Answer:

  339π in³

Step-by-step explanation:

The amount of water is the difference between the volume of the cylinder and the volume of the ball. The appropriate volume formulas are ...

  cylinder V = πr²h

  sphere V = (4/3)πr³

For the given numbers, the volumes are ...

  cylinder V = π(5 in)²(15 in) = 375π in³

  sphere V = (4/3)π(3 in)³ = 36π in³

The water volume is the difference of these ...

  water volume = cylinder V - sphere V

     = 375π in³ - 36π in³ = 339π in³

5 0
3 years ago
(52) Pleaase check ym answer
Alinara [238K]
X = measure of each of the legs
"perimeter is 8 more than 2 times one of the legs" ---> P = 2x+8
P = 28 is the given perimeter

So,
P = 2x+8
28 = 2x+8
2x+8 = 28
2x = 20
x = 10

If x = 10, then the two legs add up to x+x = 10+10 = 20
Leaving P-20 = 28-20 = 8 inches left over for the base

You have the correct answer (choice D, 8 inches) though your steps are a bit confusing at some parts. Such as the part where you wrote 2x = 10 twice. I think I know what you were trying to say. 

4 0
3 years ago
Solve for a. c = 8 π a b a. 8 π b c = a b. c/8π =a c. c/8πb =a d. c/8 =a
NNADVOKAT [17]
C = 8πab
a = c/8πb ..
4 0
3 years ago
(a) A lamp has two bulbs of a type with an average lifetime of 1600 hours. Assuming that we can model the probability of failure
lara [203]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

The probability is P_T= 0.4560

b

The probability is P_F= 0.0013

Step-by-step explanation:

From the question we are told that

The mean for the exponential density function of bulbs failure is \mu = 1600 \ hours

Generally the cumulative distribution for exponential distribution is mathematically represented as

       1 - e^{- \lambda x}

The objective is to obtain the p=probability of the bulbs failure within 1800 hours

So for the first bulb the probability will be

        P_1(x < 1800)

 And for the second bulb the probability will be

       P_2 (x< 1800)

So from our probability that we are to determine the area to the left of 1800 on the distribution curve

    Now the  rate parameter  \lambda is mathematically represented as

                           \lambda = \frac{1}{\mu}

                          \lambda = \frac{1}{1600}

The probability of the first bulb failing with 1800 hours is mathematically evaluated as

                   P_1(x < 1800) = 1 - e^{\frac{1}{1600} * 1800 }

                                        = 0.6753

Now the probability of both bulbs failing would be

              P_T=P_1(x < 1800) * P_2(x < 1800)

           = 0.6375 * 06375

           P_T= 0.4560

Let assume that one bulb failed at time T_a and the second bulb failed at time T_b  then

                 T_a + T_b = 1800\ hours

The mathematical expression to obtain the probability that the first bulb failed within between zero and T_a and the second bulb failed between T_a \ and \  1800 is represented as

             P_F=\int_{0}^{1800}\int_{0}^{1800-x} \f{\lambda }^{2}e^{-\lambda x}* e^{-\lambda y}dx dy

            =\int_{0}^{1800} {\lambda }e^{-\lambda x}\int_{0}^{1800-x} {\lambda } e^{-\lambda y}dx dy

            =\int_{0}^{1800} {\frac{1}{1600} }e^{-\lambda x}\int_{0}^{1800-x} \frac{1}{1600 } e^{-\lambda y}dx dy

          =\int_{0}^{1800} {\frac{1}{1600} }e^{-\lambda x}[e^{- \lambda y}]\left {1800-x} \atop {0}} \right. dx        

          =\int_{0}^{1800} {\frac{1}{1600} }e^{-\frac{x}{1600} }[e^{- \frac{1800 -x}{1600} }-1] dx

            =[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{- \frac{x}{1600} }] \left {1800} \atop {0}} \right.

           =[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{- \frac{1800}{1600} }] -[[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{-0}]

           =[\frac{1}{1600} e^{-\frac{1800}{1600} } - \frac{1}{1600} e^{-0}  ]

         =0.001925 -0.000625

         P_F= 0.0013

4 0
3 years ago
Read 2 more answers
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